Wolters Kluwer Health
may email you for journal alerts and information, but is committed
to maintaining your privacy and will not share your personal information without
your express consent. For more information, please refer to our Privacy Policy.

Aims & Objectives:

Methods

We collected those patients’ general information (including gender, age, disease diagnosis), and different points of PEWS(admission, the highest, discharge), and different outcomes, and prognosis(survival or death of those admitted in PICU)

Results

A total of 4744 children(male 62.9%) were enrolled and categorized into 4 groups according to their different outcomes namely, discharged group(G1, n=2320), specialized ward group(G2, n=2128), ICU group(G3, n=269), and spontaneous discharge group(G4, n=27). The diagnosis of those patients was divided into 17 categories. There was no significant difference in gender between four groups. Children in G4 were younger and those who had tumor diseases had the highest proportion of admission to PICU. The different PEWS scores were statistically significant among the four different groups (P < 0.001). Neither the first scores nor the highest ones had significant difference between G1 and G2, but contrarily between G1 and G3, as well as G2 and G3. The discharge scores were different between any two groups. We use AUROC curve to predict the possibility of PICU admission and the corresponding death, and the values were 0.698, 0.878, 0.974 and 0.709, 0.883, 0.951, respectively. Their corresponding cut-off values were 2.5, 3.5, 3.5 and 1.5, 3.5, 3.5, respectively. The discharge scores had the strongest prediction ability and highest specificity and sensitivity.